From Agent Harnesses to Authority Infrastructure: CNX as Governed Capability Execution for Model-Independent AI Systems

This systems architecture article evaluates Coherence Nexus (CNX) as a model-independent authority infrastructure product candidate for agentic AI systems. Building on the source-level Claude Code/OpenClaw design-space analysis, the paper argues that production agentic AI systems are increasingly defined not only by model intelligence, but by the infrastructure surrounding intelligence: permissions, context management, tool routing, persistence, recovery, extensibility, audit, and human authority. CNX is positioned as the next infrastructure layer: governed capability execution. Its central product boundary is BZAIClient.execute(capability, payload, identity), through which heterogeneous intelligence sources, models, agents, gateways, tools, and human operators may be mediated under identity-bound authorization, policy evaluation, lifecycle control, append-only audit, and post-generation coherence classification. The paper’s central invariant is Intelligence Without Authority: improved reasoning, discovery depth, self-knowledge, or coherence does not automatically grant operational authority. Authority changes only through explicit governed authorization. The publication claim is bounded. The paper does not claim universal AI safety, truth detection, autonomous correctness, or final enterprise-readiness. It supports CNX as an implemented authority-separation architecture and pilot-ready infrastructure candidate, while identifying the need for external deployment studies, adversarial evaluation, policy hardening, and enterprise integration before broader production claims are made.